Adaptive information topology

POKOJSKÁ, Eva. Adaptive information topology. WE-Heraeus Stiftung, 2014.

Basic information

• Original name: Adaptive information topology
• Authors: POKOJSKÁ, Eva.
• Edition: 2014.
• Publisher: WE-Heraeus Stiftung

Other information

• Type of outcome: Proceedings paper
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: printed version "print"
• WWW: URL
• Keywords in English: information propagation, medium feedback, time, space
• Tags: International impact, Reviewed

Abstract

Multiscale adaptive dynamics is the spirit of nature and the universe. Yet, many effects escape our minds due to discretizing the reality, and isolating defined objects from their complement. Consider now a global information continuum with a closed feedback loop (i.bit <=> i.medium) acting on it. Every action originated with an i.bit results in modifying embedding i.medium (channel) -- and vice versa. Medium internal structure is rearranged (info.memory, folded i.boundary), what implies further changes to information filtering / propagation properties (info.adaptation, control). This mutual coupling of information and a channel results in non-equivalence of paths and non-existence of copies. Furthermore, each interaction of a source i.bit generates a new source (e.g. by reflection), increasing the topological dimension of the process (determined by dim{source}), with consequences to lensing or cloaking. The notion of a unique time-line is lost in a number of reference sources, as is the time-arrow when comparing information propagation originating in different source i.bits (or, acceleration / deceleration due to reflection). Localized memory results from maximizing folded i.boundary-to-i.medium ratio ({N-k}-dim volume / N-dim volume), minimization of which leads to diffuse (uniform-like) memory distribution. Multiscale randomness is favored by progressive energy evolution (elasticity) of the system.